import pystray
from pystray import MenuItem as item
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
import base64
import requests
import ctypes
from PIL import Image, ImageDraw
import time
import os
import json
import base64, os
import os
import psutil


# 获取指定名称的进程
def get_process_by_name(process_name):
	# 遍历所有进程
	for process in psutil.process_iter():
		try:
			# 如果进程名称匹配，则返回该进程
			if process.name() == process_name:
				return process
		except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
			# 如果进程不存在、没有访问权限或为僵尸进程，跳过处理
			pass
	# 如果没有找到匹配的进程，返回None
	return None


# 结束指定名称的进程
def terminate_process_by_name(process_name):
	# 获取指定名称的进程
	process = get_process_by_name(process_name)
	if process:
		# 结束进程
		process.terminate()
		print("进程{}已终止".format(process_name))
	else:
		print("未找到进程{}".format(process_name))


# 检查进程是否存在并启动进程
def check_and_start_process(process_name, process_path):
	# 检查进程是否存在
	process = get_process_by_name(process_name)
	if process:
		# 存在进程，先关闭进程
		terminate_process_by_name(process_name)

	# 启动进程
	try:
		os.startfile(process_path)
		print("进程{}已启动".format(process_name))
	except:
		print("启动进程{}失败".format(process_name))


# 检查并启动"FengYunBiZhi.exe"进程




def save_config(suofangnum, weixingname, shuaxing):
    config = {
        'suofang': str(suofangnum),
        'weixing': weixingname,
        'shuaxing': str(shuaxing)
    }

    with open('img/cofig.json', 'w', encoding='utf-8') as f:
        json.dump(config, f)


def out_png():
	base64_bytes = base64.b64decode(
		'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')

	# 将解码后的bytes写入文件中
	with open("image.png", "wb") as file:
		file.write(base64_bytes)
	os.startfile('image.png')


def save_settings():
	weixingname = wallpaper_combobox.get()
	try:
		shuaxing = int(time_spinbox.get())
		suofangnum = int(suofang_spinbox.get())
		if shuaxing >= 10 and shuaxing <= 100:
			shuaxing = int(shuaxing)
		else:
			messagebox.showinfo('错误', '刷新时间输入有误.')
		if suofangnum >= 50 and suofangnum <= 100:
			suofangnum = float(suofangnum / 100)
		else:
			messagebox.showinfo('错误', '缩放值输入有误.')

		save_config(suofangnum, weixingname, shuaxing)
		messagebox.showinfo('风云壁纸', '设置已修改.')
		try:
			check_and_start_process("FengYunBiZhi.exe", "FengYunBiZhi.exe")

		except:
			messagebox.showinfo('风云壁纸', '壁纸设置失败.')



	except:
		messagebox.showinfo('错误', '输入有误.')

root = tk.Tk()
root.title('壁纸设置')
root.geometry('400x500')  # 固定窗口大小
root.resizable(False, False)  # 禁止调整窗口大小

# 设置窗口字体
font = ('微软雅黑', 14)  # 替换为你想要的字体和字号
root.option_add("*Font", font)

# 添加下拉选框
choices = ['风云4A', '风云4B']
wallpaper_var = tk.StringVar(root)
wallpaper_var.set(choices[0])
wallpaper_label = ttk.Label(root, text='选择卫星：')
wallpaper_label.pack(pady=10)
wallpaper_combobox = ttk.Combobox(root, textvariable=wallpaper_var)
wallpaper_combobox['values'] = choices
wallpaper_combobox.state(['!disabled', 'readonly'])  # 设置为只读状态
wallpaper_combobox.pack(pady=10)

# 添加数值输入
time_label = ttk.Label(root, text='设置时间（10-100分钟）：')
time_label.pack(pady=10)

time_spinbox = ttk.Spinbox(root, from_=10, to=100)

time_spinbox.pack(pady=10)

# 添加数值输入
suofang_label = ttk.Label(root, text='设置缩放倍率（50-100%）：')
suofang_label.pack(pady=10)

suofang_spinbox = ttk.Spinbox(root, from_=50, to=100)
suofang_spinbox.pack(pady=10)



# 自定义样式
save_style = ttk.Style()
save_style.configure('Custom.TButton', font=('微软雅黑', 12))

pay_button = tk.Button(root, text="打赏作者", bg='green', fg='white', font=('微软雅黑', 12), command=out_png)
pay_button.pack(pady=10)

save_button = ttk.Button(root, text='保存设置', command=save_settings, style='Custom.TButton')
save_button.pack(pady=10)

root.mainloop()
